| 一种新的基于SVM-KNN的Web文本分类算法 |
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| 引用本文： | 曹建芳,王鸿斌.一种新的基于SVM-KNN的Web文本分类算法[J].计算机与数字工程,2010,38(4):59-61. |
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| 作者姓名： | 曹建芳 王鸿斌 |
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| 作者单位： | 忻州师范学院计算机系,忻州,034000 |
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| 基金项目： | 忻州师范学院科研基金项目(编号:200904)资助 |
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| 摘 要： | 在应用基本的支持向量机算法的基础上,提出了一种新的Web文本分类算法。将SVM算法和KNN算法进行结合,提出了基于SVM-KNN的Web文本分类算法,用KNN算法来弥补传统SVM算法的不足,以简单的思想和较小的实现代价对传统SVM算法进行有效的改进,收到了良好的分类效果。
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| 关 键 词： | SVM KNN Web文本分类 机器学习 |
A New Web Text Classification Based on SVM-KNN |
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| Cao Jianfang Wang Hongbin.A New Web Text Classification Based on SVM-KNN[J].Computer and Digital Engineering,2010,38(4):59-61. |
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| Authors: | Cao Jianfang Wang Hongbin |
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| Affiliation: | Computer Department/a>;Xinzhou Teachers University/a>;Xinzhou 034000 |
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| Abstract: | A new Web text classification algorithm has been put forward based on basic support vector machine algorithm.The SVM-KNN-based algorithm for Web text classification has been proposed,which combined SVM algorithm and KNN algorithms using the KNN algorithm to compensate for the deficiencies of traditional SVM algorithm and taking simple ideas and smaller cost to improve traditional SVM algorithm.The method in this paper has gained good effect. |
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| Keywords: | support vector machine K-nearest neighbor Web text classification machine learning |
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